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Quillan-Ronin

Text Generation
Transformers
Safetensors
GGUF
English
llama
causal-lm
multimodal
image-generation
video-generation
audio-generation
text-generation-inference
Model card Files
xet
Community
Quillan-Ronin
File size: 4,301 Bytes
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#pragma once

#include "../clip-graph.h"

/*

 * IMPORTANT: The mtmd module does NOT accept pull requests that are fully or predominantly AI-generated.

 * We encourage human contributors to ensure the quality and reliability of the codebase.

 */

struct clip_graph_siglip : clip_graph {
    clip_graph_siglip(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
    ggml_cgraph * build() override;
};

struct clip_graph_pixtral : clip_graph {
    clip_graph_pixtral(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
    ggml_cgraph * build() override;
};

struct clip_graph_qwen2vl : clip_graph {
    clip_graph_qwen2vl(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
    ggml_cgraph * build() override;
};

struct clip_graph_qwen3vl : clip_graph {
    clip_graph_qwen3vl(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
    ggml_cgraph * build() override;
};

struct clip_graph_youtuvl : clip_graph {
    clip_graph_youtuvl(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
    ggml_cgraph * build() override;
};

struct clip_graph_minicpmv : clip_graph {
    clip_graph_minicpmv(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
    ggml_cgraph * build() override;
};

struct clip_graph_internvl : clip_graph {
    clip_graph_internvl(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
    ggml_cgraph * build() override;
};

struct clip_graph_nemotron_v2_vl : clip_graph {
    clip_graph_nemotron_v2_vl(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
    ggml_cgraph * build() override;
};

struct clip_graph_llama4 : clip_graph {
    clip_graph_llama4(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
    ggml_cgraph * build() override;
};

struct clip_graph_kimivl : clip_graph {
    clip_graph_kimivl(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
    ggml_cgraph * build() override;
};

struct clip_graph_paddleocr : clip_graph {
    clip_graph_paddleocr(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
    ggml_cgraph * build() override;
};

struct clip_graph_cogvlm : clip_graph {
    clip_graph_cogvlm(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
    ggml_cgraph * build() override;
};

struct clip_graph_llava : clip_graph {
    clip_graph_llava(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
    ggml_cgraph * build() override;
};

struct clip_graph_whisper_enc : clip_graph {
    clip_graph_whisper_enc(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
    ggml_cgraph * build() override;
};

struct clip_graph_conformer : clip_graph {
    clip_graph_conformer(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
    ggml_cgraph * build() override;
};

struct clip_graph_glm4v : clip_graph {
    clip_graph_glm4v(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
    ggml_cgraph * build() override;
};

struct clip_graph_mobilenetv5 : clip_graph {
    clip_graph_mobilenetv5(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
    ggml_cgraph * build() override;

    ggml_tensor * rms_norm_2d(

        ggml_tensor * inp,

        ggml_tensor * weight,

        float eps = 1e-6f);

    ggml_tensor* pad_same_2d(

        ggml_tensor* inp,

        int kernel_h,

        int kernel_w,

        int stride_h,

        int stride_w,

        int dilation_h = 1,

        int dilation_w = 1);

    ggml_tensor * build_edge_residual(

        ggml_tensor * inp,

        const mobilenetv5_block & block,

        int stride);

    ggml_tensor * build_inverted_residual(

        ggml_tensor * inp,

        const mobilenetv5_block & block,

        int stride);

    ggml_tensor * build_mobilenet_attn(

        ggml_tensor * inp,

        const mobilenetv5_block & block);
};

struct clip_graph_kimik25 : clip_graph {
    clip_graph_kimik25(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
    ggml_cgraph * build() override;

    ggml_tensor * resize_position_embeddings_3d(uint32_t interpolation_mode);
};